Black Forest Labs
FLUX.2 Klein 9BTerbuka
9B FLUX.2 klein tier — near-Pro quality on a single consumer GPU.
Inteligensi
88.2 #28
AAQI 88.0
Kecepatan output
55 t/s
ITL 18.2 ms/tok
Harga gabungan (3:1)
$0.02 /1M
Input $0.02/M · Output $0.02/M
Konteks
64K
≈ 160 halaman A4 · output maks 4,096
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
FLUX.2 Klein 9B
Claude Mythos Preview (#1)
Average (68)
Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.
Kelebihan & Trade-off
Di mana ia menang
- Best quality-per-GB in the FLUX.2 family
- Runs on RTX 3060-class hardware
- Open weights — fine-tune and self-host freely
Hal yang perlu diperhatikan
- Still trails Dev/Pro on typography and faces
- Half the speed of the 4B klein tier
- 2K output ceiling
Kasus Penggunaan Killer
Hobbyist & indie pipelines
Pro-adjacent images on consumer cards.
Fine-tuned niche styles
Small enough to iterate LoRAs overnight.
Local production tools
Self-hosted rendering for studios and agencies.
Quickstart Developer & API
Atur
HF_TOKEN dulu — dapatkan kunci APIcurl https://router.huggingface.co/v1/chat/completions \
-H "Authorization: Bearer $HF_TOKEN" \
-H "content-type: application/json" \
-d '{
"model": "black-forest-labs/FLUX.2-klein-9b",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://router.huggingface.co/v1",
api_key=os.environ["HF_TOKEN"],
)
resp = client.chat.completions.create(
model="black-forest-labs/FLUX.2-klein-9b",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://router.huggingface.co/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.HF_TOKEN}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "black-forest-labs/FLUX.2-klein-9b",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Sumber Daya & Tautan Resmi
Deployment API
Bandingkan host & latensi
Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Skor per sumber
Skor per kategori
Hasil benchmark
Spesifikasi Live & Arsitektur
Di balik kap
FLUX.2 Klein 9B — consumer-GPU diffusion
- 9B distilled transformer — the klein quality tier
- Fits 8GB VRAM at Q4
- Near-Pro prompt adherence on standard scenes
- Full LoRA fine-tuning support
Tanggal rilis
14 Okt 2026
Arsitektur
FLUX.2 Klein 9B — consumer-GPU diffusion
Parameter
9B
Lisensi
Open Weights
Jendela konteks
64,000 tokens
Output maks
4,096 tokens
Modalitas
text + image
Harga cache
baca $0.008 · tulis $0.025 /1M
Penalaran
—
Harga input
$0.02/M
Harga output
$0.02/M
Kecepatan output
55 t/s
Waktu ke token pertama
—
Data diperbarui
22 Okt 2026
Perangkat Keras & Inferensi Lokal
Data: Convly AI (CC BY 4.0) ↗VRAM (4-bit Q4)
6 GB
GPU Min.
RTX 3060 8GB / any 8GB GPU
Estimasi tagihan bulanan
Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…
Kutip & sematkan
Badge Markdown GitHub
Loading badge markdown...BibTeX
@misc{llmpodium2026flux2klein9b,
title = {Benchmark Analysis and Intelligence Evaluation of FLUX.2 Klein 9B},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/flux-2-klein-9b}
}Sematkan Lencana Skor
Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.
Pratinjau
Markdown
Loading badge snippet...HTML
Loading badge snippet...Lainnya dari Black Forest Labs
Model Alternatif
Alternatif terdekat untuk FLUX.2 Klein 9B berdasarkan kemampuan, harga, dan skor benchmark.